162 lines
10 KiB
MySQL
162 lines
10 KiB
MySQL
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-----------张斌2025-06-16 15:00:00--------------
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--------------------pgsql创建rag_knowledge_dataset表语句---------------------------
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-- 数据集表（RAG场景专用）
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CREATE TABLE IF NOT EXISTS rag_knowledge_dataset (
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-- 基础字段（继承 SQLBaseCol 通用字段，与 SQLBaseDO 对齐）
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id BIGINT PRIMARY KEY, -- 主键ID（非自增）
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tenant_id BIGINT NOT NULL DEFAULT 0, -- 租户ID int8类型
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creator VARCHAR(64) NOT NULL,
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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updater VARCHAR(64) NOT NULL,
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updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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deleted_at timestamp(6),
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-- 数据集核心字段（调整为允许为空）
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name VARCHAR(128) NOT NULL, -- 数据集名称（核心字段仍非空）
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description TEXT DEFAULT '', -- 数据集描述（长文本，适配详细描述场景）
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embedding VARCHAR(64), -- 向量模型名称（允许为空）
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dimension INT, -- 向量维度（允许为空）
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document_count BIGINT, -- 文件数量（int64 映射为 BIGINT，允许为空）
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document_size BIGINT -- 文件大小(字节)（int64 映射为 BIGINT，允许为空）
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);
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-- 索引（针对RAG数据集高频查询优化）
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CREATE INDEX idx_dataset_tenant_id ON rag_knowledge_dataset(tenant_id); -- 租户ID索引
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CREATE INDEX idx_dataset_name ON rag_knowledge_dataset(name); -- 数据集名称模糊/精准查询
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CREATE INDEX idx_dataset_embedding ON rag_knowledge_dataset(embedding); -- 按向量模型筛选（允许空值，索引自动忽略NULL）
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CREATE INDEX idx_dataset_deleted_at ON rag_knowledge_dataset(deleted_at); -- 软删字段索引
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-- 唯一索引（保证数据集称唯一性，避免重复创建）
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CREATE UNIQUE INDEX uk_dataset_name ON rag_knowledge_dataset(name) WHERE deleted_at IS NULL;
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-- 表和字段注释
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COMMENT ON TABLE rag_knowledge_dataset IS '数据集表（RAG场景专用）';
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COMMENT ON COLUMN rag_knowledge_dataset.id IS '主键ID（非自增）';
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COMMENT ON COLUMN rag_knowledge_dataset.tenant_id IS '租户ID';
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COMMENT ON COLUMN rag_knowledge_dataset.creator IS '创建人';
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COMMENT ON COLUMN rag_knowledge_dataset.created_at IS '创建时间';
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COMMENT ON COLUMN rag_knowledge_dataset.updater IS '更新人';
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COMMENT ON COLUMN rag_knowledge_dataset.updated_at IS '更新时间';
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COMMENT ON COLUMN rag_knowledge_dataset.deleted_at IS '删除时间（软删）';
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COMMENT ON COLUMN rag_knowledge_dataset.name IS '数据集名称';
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COMMENT ON COLUMN rag_knowledge_dataset.description IS '数据集描述';
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COMMENT ON COLUMN rag_knowledge_dataset.embedding IS '向量模型名称（如text-embedding-ada-002，允许为空）';
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COMMENT ON COLUMN rag_knowledge_dataset.dimension IS '向量维度（对应embedding模型的输出维度，允许为空）';
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COMMENT ON COLUMN rag_knowledge_dataset.document_count IS '数据集内文件数量（允许为空）';
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COMMENT ON COLUMN rag_knowledge_dataset.document_size IS '数据集内文件总大小（字节，允许为空）';
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--------------------pgsql创建rag_knowledge_dataset表语句---------------------------
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--------------------pgsql创建rag_knowledge_document表语句---------------------------
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-- RAG文件表（存储原始文件及切分相关信息，关联数据集）
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CREATE TABLE IF NOT EXISTS rag_knowledge_document (
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-- 基础字段（继承 SQLBaseCol 通用字段）
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id BIGINT PRIMARY KEY, -- 主键ID（非自增）
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tenant_id BIGINT NOT NULL DEFAULT 0, -- 租户ID int8类型
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creator VARCHAR(64) NOT NULL,
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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updater VARCHAR(64) NOT NULL,
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updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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deleted_at timestamp(6),
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-- 核心关联字段
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dataset_id BIGINT NOT NULL, -- 关联数据集ID（新增，非空）
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-- 文件核心字段
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title VARCHAR(256) NOT NULL, -- 文件标题
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content TEXT, -- 文件内容（长文本，允许为空：大文件内容可仅存路径，不存原文）
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format VARCHAR(16) DEFAULT '', -- 文件格式: txt, md, pdf, docx, html
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source VARCHAR(64) DEFAULT '', -- 来源（如：手动上传/爬虫/API导入）
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source_id VARCHAR(64) DEFAULT '', -- 来源ID（如：爬虫任务ID/上传批次ID）
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status SMALLINT NOT NULL DEFAULT 1, -- 状态：1启用/0停用
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vector_status SMALLINT NOT NULL DEFAULT 1, -- 向量化状态: 1pending, 2processing, 3completed, 4failed,5partCompleted
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chunk_count BIGINT, -- 切分后的块数量（int64映射为BIGINT，允许为空）
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file_size BIGINT, -- 文件大小(字节)（int64映射为BIGINT，允许为空）
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file_path VARCHAR(512) DEFAULT '', -- 文件存储路径（如MinIO路径）
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metadata JSONB DEFAULT '{}'::JSONB -- 额外元数据（嵌套Metadata结构体，JSONB存储）
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);
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-- 单独添加外键约束（避免表定义内写约束导致的语法兼容问题）
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-- 注意：执行前确保 rag_knowledge_dataset 表已存在，否则注释此行
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ALTER TABLE rag_knowledge_document ADD CONSTRAINT fk_document_dataset_id FOREIGN KEY (dataset_id) REFERENCES rag_knowledge_dataset(id) ON DELETE CASCADE;
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-- 索引（针对RAG文件高频查询+数据集关联优化）
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CREATE INDEX idx_document_tenant_id ON rag_knowledge_document(tenant_id); -- 租户ID索引
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CREATE INDEX idx_document_dataset_id ON rag_knowledge_document(dataset_id); -- 数据集关联查询（核心索引）
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CREATE INDEX idx_document_title ON rag_knowledge_document(title); -- 标题模糊查询
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CREATE INDEX idx_document_format ON rag_knowledge_document(format); -- 按文件格式筛选
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CREATE INDEX idx_document_status ON rag_knowledge_document(status); -- 启用/停用筛选
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CREATE INDEX idx_document_vector_status ON rag_knowledge_document(vector_status); -- 向量化状态筛选（核心：监控处理中/失败文件）
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CREATE INDEX idx_document_source ON rag_knowledge_document(source, source_id); -- 来源+来源ID组合查询（溯源场景）
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CREATE INDEX idx_document_deleted_at ON rag_knowledge_document(deleted_at); -- 软删字段索引
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-- 表和字段注释
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COMMENT ON TABLE rag_knowledge_document IS 'RAG文件表（存储原始文件及切分、元数据相关信息，关联数据集）';
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COMMENT ON COLUMN rag_knowledge_document.id IS '主键ID（非自增）';
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COMMENT ON COLUMN rag_knowledge_document.tenant_id IS '租户ID';
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COMMENT ON COLUMN rag_knowledge_document.creator IS '创建人';
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COMMENT ON COLUMN rag_knowledge_document.created_at IS '创建时间';
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COMMENT ON COLUMN rag_knowledge_document.updater IS '更新人';
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COMMENT ON COLUMN rag_knowledge_document.updated_at IS '更新时间';
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COMMENT ON COLUMN rag_knowledge_document.deleted_at IS '删除时间（软删）';
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COMMENT ON COLUMN rag_knowledge_document.dataset_id IS '关联数据集ID';
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COMMENT ON COLUMN rag_knowledge_document.title IS '文件标题';
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COMMENT ON COLUMN rag_knowledge_document.content IS '文件内容（大文件建议仅存路径，不存储原文）';
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COMMENT ON COLUMN rag_knowledge_document.format IS '文件格式：txt/md/pdf/docx/html等';
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COMMENT ON COLUMN rag_knowledge_document.source IS '文件来源（手动上传/爬虫/API导入等）';
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COMMENT ON COLUMN rag_knowledge_document.source_id IS '来源ID（溯源标识）';
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COMMENT ON COLUMN rag_knowledge_document.status IS '文件状态：1启用/0停用';
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COMMENT ON COLUMN rag_knowledge_document.vector_status IS '向量化状状态：1pending-待处理/2processing-处理中/3completed-完成/4failed-失败/5partCompleted';
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COMMENT ON COLUMN rag_knowledge_document.chunk_count IS '文件切分后的块数量（int64类型，未切分时为空）';
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COMMENT ON COLUMN rag_knowledge_document.file_size IS '文件大小（字节，int64类型，允许为空）';
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COMMENT ON COLUMN rag_knowledge_document.file_path IS '文件存储路径（如MinIO对象存储路径）';
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COMMENT ON COLUMN rag_knowledge_document.metadata IS '文件元数据，结构：{"author":"作者","tags":["标签1","标签2"],"custom":{"key":"值"}}';
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--------------------pgsql创建rag_knowledge_document表语句---------------------------
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--------------------pgsql创建rag_knowledge_keyword表语句---------------------------
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-- 关键词表（文档关键词+权重）
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CREATE TABLE IF NOT EXISTS rag_knowledge_keyword (
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-- 基础字段（完全对齐项目规范）
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id BIGINT PRIMARY KEY, -- 主键ID（非自增）
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tenant_id BIGINT NOT NULL DEFAULT 0, -- 租户ID int8
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creator VARCHAR(64) NOT NULL,
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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updater VARCHAR(64) NOT NULL,
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updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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deleted_at timestamp(6),
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-- 业务字段
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dataset_id BIGINT NOT NULL, -- 数据集ID
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document_id BIGINT NOT NULL, -- 文件ID
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word VARCHAR(255) NOT NULL, -- 关键词
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weight SMALLINT NOT NULL DEFAULT 0 -- 权重
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);
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-- 唯一索引：保证 租户 + 数据集 + 文档 + 关键词 全局唯一
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CREATE UNIQUE INDEX uk_rag_knowledge_keyword_tenant_dataset_doc_word
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ON rag_knowledge_keyword(tenant_id, dataset_id, document_id, word)
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WHERE deleted_at IS NULL;
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-- 索引（按业务高频查询）
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CREATE INDEX idx_keyword_tenant_id ON rag_knowledge_keyword(tenant_id);
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CREATE INDEX idx_keyword_dataset_id ON rag_knowledge_keyword(dataset_id);
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CREATE INDEX idx_keyword_document_id ON rag_knowledge_keyword(document_id);
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CREATE INDEX idx_keyword_word ON rag_knowledge_keyword(word);
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CREATE INDEX idx_keyword_deleted_at ON rag_knowledge_keyword(deleted_at);
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-- 表和字段注释
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COMMENT ON TABLE rag_knowledge_keyword IS 'RAG关键词表（文档关键词+权重）';
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COMMENT ON COLUMN rag_knowledge_keyword.id IS '主键ID（非自增）';
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COMMENT ON COLUMN rag_knowledge_keyword.tenant_id IS '租户ID';
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COMMENT ON COLUMN rag_knowledge_keyword.creator IS '创建人';
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COMMENT ON COLUMN rag_knowledge_keyword.created_at IS '创建时间';
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COMMENT ON COLUMN rag_knowledge_keyword.updater IS '更新人';
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COMMENT ON COLUMN rag_knowledge_keyword.updated_at IS '更新时间';
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COMMENT ON COLUMN rag_knowledge_keyword.deleted_at IS '删除时间（软删）';
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COMMENT ON COLUMN rag_knowledge_keyword.dataset_id IS '数据集ID';
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COMMENT ON COLUMN rag_knowledge_keyword.document_id IS '文档ID';
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COMMENT ON COLUMN rag_knowledge_keyword.word IS '关键词';
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COMMENT ON COLUMN rag_knowledge_keyword.weight IS '权重';
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--------------------pgsql创建rag_knowledge_keyword表语句---------------------------
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